Digitisation privat organisations – Liberec region
Main idea – what the company needed
• Inventory optimization using AI
• Demand prediction based on historical sales
• Safety stock and reordering points optimization
• Risk assessment – AI is able to analyze potential supply chain disruptions
• Lead time optimization for good and services (reducing risk of stockout/excess inventory)
Cooperation
• Detailedwork with data – collection, cleaning, feature engineering
• Model training and scoring
• Hyperparameter tuning
• Used approaches: regression analysis, time-series analysis, decision trees, clustering, artificial neural networks, …
• Provided transparent user interface
Results – what the company gained
• Lower raw material stock
• Faster product deliveries
• Optimized reordering = improved cash flow
• Easier to avoid supplier chain disruption
• More efficient use of staff = time saving
• Potential for more AI use cases (for example next innovation voucher)
FEEDBACK
“The project has greatly assisted us in optimizing and automating various processes within our company. We are grateful for this program and the collaboration with the Technical University of Liberec, as it has enabled us to reduce the amount of raw materials we need to keep in stock without the fear of running out. Additionally, we have been able to allocate our employees more effectively.
These improvements have significantly enhanced our reliability with our customers, and thanks to the improved cash flow, we can approach our next business strategy with greater confidence.”
Aleš Bobek
Program and quality manager, Dřevoplast Ludvík
